MUMBAI, India, Sept. 22 -- Intellectual Property India has published a patent application (202641110248 A) filed by Mr. Jithin Mohandas N P; Ms. Chithra K G; Dr. Mredhula L; Dr. Seenia Joseph; Dr. Pramod K; Dr. Ashish L; Dr. Gopakumar R; Ms. Thasleema N U; Dr. Aravidhraj Mani; and Ms. Ardra Krishnan on September 14, 2026, for Iot-Enabled Intelligent Structural Health Monitoring System With Multi-Sensor Fusion And Ai-Based Early Damage Prediction.
Inventors include Mr. Jithin Mohandas N P; Ms. Chithra K G; Dr. Mredhula L; Dr. Seenia Joseph; Dr. Pramod K; Dr. Ashish L; Dr. Gopakumar R; Ms. Thasleema N U; Dr. Aravidhraj Mani; and Ms. Ardra Krishnan.
The application for the patent was published on September 18, 2026, under issue no. 38/2026.
Abstract: The present invention relates to a continuous monitoring of civil structures including buildings, bridges, flyovers, retaining walls and dams. The system integrates a plurality of sensor nodes comprising MEMS accelerometers, tilt sensors, strain sensors, crack-width sensors, temperature and humidity sensors, water/seepage sensors and optional load sensors. The sensor nodes acquire structural parameters and transmit the measured data through wireless communication to an IoT gateway. Edge- based processing is performed for sensor calibration, noise filtering, feature extraction, vibration analysis and frequency-domain analysis. An artificial intelligence engine performs multi-sensor data fusion, anomaly detection and predictive analysis using machine learning and/or deep learning models to determine structural deterioration trends. The system generates a Structural Health Index, anomaly score, damage probability, risk level and critical location information, and provides maintenance recommendations. A digital twin-based dashboard visually represents the monitored structure, sensor locations, real-time measurements and predicted damage zones. The invention enables continuous, intelligent and predictive structural assessment, facilitating early warning and timely maintenance while reducing dependence on periodic manual inspection.
Disclaimer: Curated by HT Syndication.
